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The Origin and Significance of Short-Term Variability of Semivolatile Contaminants in Air

机译:空气中半挥发性污染物短期变化的成因及意义

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Persistent semivolatile contaminants such as polychlorinated biphenyls (PCBs) cycle between air and surface media in the environment. At different locations and times, PCB concentrations in air over a diel (24-hour) period have been observed to have maxima either during the day or at night. These observations have been interpreted as evidence of temperature-mediated air-surface exchange and of degrading reactions with hydroxyl radicals in the atmosphere. However, a general explanation of the processes responsible for the observed diel variability in concentrations has not been provided. Here, we interpret diel monitoring data using a multimedia mass balance model parametrized with local data on temperature, wind speed, atmospheric mixing height, and hydroxyl radical concentrations. We demonstrate that four factors are sufficient to account for the variability of PCB concentrations in air over a diel period; temperature, local atmospheric stability, hydroxyl radical concentration, and source type. We apply the model to re-interpret past diel monitoring studies and find that the observed patterns of concentrations can be rationalized by consideration of these factors. Using insights from this study, future diel monitoring campaigns can be targeted to observe the influence of specific fate and transport processes. Such studies will contribute to more accurate understanding of the processes controlling the short-term local, and long-term global fate of persistent semivolatile contaminants.
机译:持久性半挥发性污染物(如多氯联苯(PCB))在环境中的空气与表面介质之间循环。在不同的位置和时间,在白天或晚上,在diel(24小时)内空气中的PCB浓度已达到最大值。这些观察已被解释为温度介导的空气表面交换和与大气中的羟基自由基发生降解反应的证据。但是,尚未提供对所观察到的浓度的狄尔变异性负责的过程的一般解释。在这里,我们使用多媒体质量平衡模型解释diel监测数据,该模型与有关温度,风速,大气混合高度和羟自由基浓度的本地数据参数化。我们证明了四个因素足以说明diel期间空气中PCB浓度的变化。温度,当地大气稳定性,羟基自由基浓度和来源类型。我们应用该模型重新解释了过去的diel监测研究,发现可以通过考虑这些因素使观察到的浓度模式合理化。利用这项研究的见识,可以将未来的迪尔监测活动作为目标,以观察特定命运和运输过程的影响。这些研究将有助于更准确地了解控制持久性半挥发性污染物的短期,长期和全球命运的过程。

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